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Discover how Chase Hannigan grew from zero to 200,000 followers across YouTube, Instagram, and TikTok in just over a year without any prior content creation experience. In this episode, we dive deep into his AI-powered content ideation system that scrapes trending topics from YouTube, Reddit, Twitter, and Perplexity to generate daily reports and content scripts.

Chapters:
01:06 What You’ll Learn + Free n8n Workflow Overview
02:24 The Real Problem: Manual Ideation & Doom Scrolling
03:45 Automating Content Ideation Across Platforms
05:25 Screen Share Begins – Live Walkthrough of the n8n Workflow
06:00 High-Level System Architecture
06:30 YouTube Data Ingestion & Filtering Logic
07:10 Transcript Analysis with LLMs
07:45 Multi-Platform Expansion: Reddit, Twitter, Perplexity
09:00 How the Daily Digest Report Is Generated
09:25 Airtable + Email Report Delivery
09:45 Content Script Generation (Hooks, Bodies, CTAs)
11:00 Why This Is Not RAG (And When You’d Want It)
11:30 Filtering Noise with Engagement Metrics
12:30 Content Volume Strategy
14:00 Hook Optimization & Pre-Validated Ideas
15:15 Frameworks vs Off-the-Cuff Content
16:00 Recording Stack
17:05 Why Ideation Is the Highest-Leverage Automation
18:00 Posting & Editing Workflow
19:00 Why Fancy Editing Doesn’t Matter for Technical Audiences
23:15 Reducing Friction to Stay Consistent
24:20 Handling Cringe, Feedback, and Early Videos
25:55 Real Business Outcomes from Content Automation
32:00 Where to Find the Workflow + Final Takeaways

Get 30% Off n8n Cloud Starter or Pro Plans!
Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

In this episode, we sit down with Cole Medin, CTO of Automator and expert in applied AI, to dive deep into context engineering, RAG (Retrieval Augmented Generation), and building scalable AI workflows. Cole shares practical strategies for cutting through the noise in the AI space, designing effective prompts, and moving from prototypes to production-ready systems. Whether you’re an AI builder, developer, or just curious about the latest in automation, this conversation is packed with actionable insights and real-world advice.

00:00 – Introduction: The challenge of too much “fluff” in the AI space and how to focus on what matters.
00:22 – Meet Cole Meine: Background, expertise, and his mission in applied AI.
01:59 – What listeners will learn: Context engineering, RAG, and moving workflows to production.
02:40 – The origin of context engineering: Why treating prompts and context as engineered resources matters.
03:49 – Vibe coding vs. context engineering: The importance of specificity and reducing assumptions.
06:18 – Practical steps for context engineering: Mindset shift, planning, and using AI to ask clarifying questions.
08:47 – Success criteria and user journeys: How to define what “done” looks like for AI projects.
12:36 – How much time to spend on planning: Product requirement docs and upfront investment.
13:54 – Favorite AI coding tools: Cloud Code, Codex, and Google’s Anti-Gravity.
15:23 – Staying up to date in AI: Research strategies and the value of community.
18:09 – Introduction to RAG (Retrieval Augmented Generation): What it is and why it matters.
20:41 – How RAG works: Embedding models, vector databases, and semantic search.
24:45 – Metadata filtering in RAG: Multi-tenancy, hierarchical search, and business use cases.
28:46 – Handling messy data: ETL/ELT pipelines and preparing data for AI agents.
32:06 – Scaling workflows: Moving from n8n prototypes to production code (Python/TypeScript).
34:38 – Deployment strategies: Frontend, backend, and cloud hosting options.
37:13 – The importance of version control: Using GitHub for safe states and CI/CD.
40:05 – Final advice: Start simple, build your process, and customize your system.
41:15 – Where to find more: Cole Meine’s YouTube channel for more on RAG and context engineering.

Get 30% Off n8n Cloud Starter or Pro Plans!
Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

In this episode, we sit down with Stephen Pope, a tech founder who built and sold a seven-figure software company, to uncover the real steps behind building SaaS apps that people actually want. Stephen shares his journey from agency work to productization, revealing how he created the Content Engine Database and scaled it to $50K+ months.

00:00 – Introduction & Stephen’s Background
01:23 – The Drive to Build: Early Entrepreneurial Spirit
02:45 – What Does Automation Really Do?
04:47 – Building a $5K SaaS Product with AI
07:11 – The Value for Listeners
08:47 – Stephen’s Process for Engineering SaaS Products
10:16 – Solving Your Own Problems: The Content Engine Database
12:54 – Going Viral and Finding Product-Market Fit
15:12 – From Agency Work to Productization
18:20 – How the Content Engine Database Works
22:03 – Organizing Content for Scale
25:00 – Repurposing Content & Automation
28:15 – Using AI and Automation in Content Creation
31:00 – The 5 Steps to Building SaaS Apps People Want
36:00 – Lead Generation, Funnels, and Project Management
40:00 – The Importance of Organization
44:00 – Finding the Right Customers
48:00 – Iteration, Feedback, and Community
52:00 – Overcoming Distractions and Staying Focused
56:00 – Final Advice & Where to Find Stephen

Get 30% Off n8n Cloud Starter or Pro Plans!
Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.